Dr. SHASHI PODDAR

Principal Scientist, Intelligent Machines and Communication Systems (IMCS)

UAV based data analytics, Computer vision, Inertial sensor navigation, and Artificial Intelligence
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Current Work Area

My current interests are in the area of computer vision, artificial intelligent and multi-sensor data fusion with primary focus on integrating inertial sensors with vision sensors using Kalman filters. The specific areas of activities are listed below:
1. Detection and localization of ground targets from UAV: In this work, sophisticated AI algorithms are being developed to detect objects on the ground and localize them.

2. Vision based algorithm for autonomous navigation in GPS denied conditions: The main goal of autonomous moving systems is to navigate from one place to the other accurately without any external guidance. Generally, GPS is used as the default sensor for estimating current position of a vehicle. However, this GPS signal is not available in indoor, extra-terrestrial, under-ground and under-water conditions. Vision aided navigation helps in navigating in these conditions by providing attitude and position parameter by taking cues from images captured at every instant.

3. Robust inertial sensor platform for position estimation: Inertial sensor-based navigation is the default approach to estimate the motion of any moving object. Efforts are being continuously made to improve the existing architecture of inertial sensor-based navigation so that they are independent and require no external aid.

Along with this, several other activities are in pipeline which include fusion of vision and inertial sensors for improved navigation, and improvements in the Kalman filtering architecture for motion estimation and tracking unknown object from fixed and mobile platforms using deep learning techniques.

Qualification

• B.Tech (Electronics & Communication Engg. - 2010)
• M. Tech (Advance Instrumentation Engg. - 2012)
• PhD (Engineering Sciences - 2017).

R&D Interest

  • Image processing & computer vision
  • Attitude & position estimation of unmanned vehicle
  • Sensor fusion and artificial intelligence
  • AI aided object detection & localization

Research Publications

1. SARDANA RAGHAV, KARAR VINOD, PODDAR SHASHI. Improving visual odometry pipeline with feedback from forward and backward motion estimates. Machine Vision and Applications. 27-01-2023, 34, Article number: 24
2. PODDAR SHASHI, CRASSIDIS JOHN L.. Adaptive Lag Smoother for State Estimation. Sensors. 15-07-2022, 22(14), 5310
3. TUTEJA SHIKHA, PODDAR SHASHI, AGRAWAL DIVYA, KARAR VINOD. PredictV: A Vehicle Prediction Scheme to Circumvent Occluded Frames. IEEE Access. 15-02-2022, 10, 20029 - 20042
4. NARKHEDE PARAG, WALAMBE RAHEE, PODDAR SHASHI, KOTECHA KETAN. Incremental learning of LSTM framework for sensor fusion in attitude estimation. PeerJ Computer Science. 04-08-2021, , e662
5. NARKHEDE PARAG, PODDAR SHASHI, WALAMBE RAHEE, GHINEA GEORGE, KOTECHA KETAN. Cascaded Complementary Filter Architecture for Sensor Fusion in Attitude Estimation. Sensors. 10-03-2021, 21(6), 1937
6. KOTTAH RAHUL, PODDAR SHASHI, SARDANA RAGHAV, BHONDEKAR AMOL P, KARAR VINOD. Mutual Information Based Feature Selection for Stereo Visual Odometry. Journal of Intelligent & Robotic Systems. 25-05-2020, 100, 1559–1568
7. PODDAR SHASHI, KUMAR AMOD. Scale-free PSO for in-run and infield inertial sensor calibration. Measurement. 01-12-2019, 147, 106849
8. NARKHEDE PARAG, RAJ ALEX NOEL JOSEPH, KUMAR VIPAN, KARAR VINOD, PODDAR SHASHI. Least square estimation-based adaptive complimentary filter for attitude estimation. Transaction of the Institute of Measurement and Control. 01-01-2019, 41(1), 235–245
9. RAJ ALEX NOEL JOSEPH, KUMAR VIPAN, PODDAR SHASHI. Least square estimation-based adaptive complimentary filter for attitude estimation. Transaction of the Institute of Measurement and Control. 10-04-2018, ,
10. KOTTAH RAHUL, KUMAR VIPAN, KARAR VINOD, PODDAR SHASHI. Multiple Model Adaptive Complementary Filter for Attitude Estimation. Aerospace Science and Technology. 01-10-2017, 69, 574-581
11. PODDAR SHASHI, NARKHEDE PARAG, KUMAR VIPAN, KUMAR AMOD. PSO Aided Adaptive Complementary Filter for Attitude Estimation. Journal of Intelligent & Robotic Systems. 01-09-2017, 87(3-4), 531–543
12. PODDAR SHASHI, KUMAR VIPAN, KUMAR AMOD. A Comprehensive Overview of Inertial Sensor Calibration Techniques. Journal of Dynamic Systems Measurement and Control. 26-09-2016, 139(1), 011006
13. PODDAR SHASHI, KOTTAH RAHUL, KUMAR VIPAN, KUMAR AMOD. Adaptive Sliding Kalman filter using Nonparametric change point detection. Measurement (IMEKO). 01-03-2016, 82, 410–420
14. KOTTAH RAHUL, PODDAR SHASHI, DAS AMITAVA, KUMAR VIPAN. Window based Multiple Model Adaptive Estimation for Navigational Framework. Aerospace Science and Technology. 01-03-2016, 50, 88–95
15. PODDAR SHASHI, SHARMA DEEWAKAR. Blackout mitigation during space vehicle re-entry. Optik-International Journal for Light and Electron Optic. 01-12-2015, 126(24), 5899–5902
16. PODDAR SHASHI, TEWARY SUMAN, SHARMA DEEWAKAR, KARAR VINOD, GHOSH ASHISH, PAL SANKAR K. Non-parametric modified histogram equalisation for contrast enhancement. IET Image Processing. 01-10-2013, 7(7), 641–652
17. PODDAR SHASHI, DAS AMITAVA, KARAR VINOD. Template Matching to Enhance HUD Colour Images. International Journal of Computer Applications. 01-06-2012, 47(9), 31-34

Patents

Patent(s) Filed
1. FOOT CONTROLLED WATER TAP
Country Filed: India
Application Number: 2684DEL2015   Date of Filing: 28-08-2015
Inventor(s):  SHARMA DEEWAKAR, PODDAR SHASHI, PARMAR VINOD, CHATTOPADHYAY K D, KARAR VINOD
2. MANUALLY CONTROLLED STAIR CLIMBING AID FOR LUGGAGE
Country Filed: India
Application Number: 0789DEL2014   Date of Filing: 18-03-2014
Inventor(s):  PODDAR SHASHI, SHARMA DEEWAKAR


Patent(s) Granted
1. MANUALLY CONTROLLED STAIR CLIMBING AID FOR LUGGAGE
 Country Granted: India
Patent Number: 419260   Date of Grant: 25-01-2023
Inventor(s):  PODDAR SHASHI, SHARMA DEEWAKAR
2. FOOT CONTROLLED WATER TAP
 Country Granted: India
Patent Number: 405365   Date of Grant: 31-08-2022
Inventor(s):  SHARMA DEEWAKAR, PODDAR SHASHI, PARMAR VINOD, CHATTOPADHYAY K D, KARAR VINOD

Significant recognition: Awards, Honours and Fellowships

  • IEI Young Engineer Award in the field of Electronics & Communication, 2022.
  • Fulbright-Nehru Postdoctoral Fellowship for pursuing postdoctoral research at University at Buffalo, NewYork under the guidance of Prof. John Crassidis
  • Best poster award on ‘AI – aided aerial object detection & distance estimation using unmanned aerial vehicle’ at National conference on avionics technologies & display systems, 2023.
  • Best paper award for ‘Inertia constrained visual odometry for navigation applications’ at Forth International conference on Image Information processing, 2017.

Other Information

Contact:
For any query related to internship/ training/ mentorship, please feel free to drop an email and it shall be responded within a day. I am currently taking interns who are interested to work in the area of computer vision, machine learning and navigation with special focus on robotics & automation.

Technology (Developed/Transfered/Commercialised) / Software Applications, Algorithms designed/developed/deployed and implemented

  • Attitude estimation of unmanned vehicle using adaptive forms of Kalman and complementary filter
  • System for vision-based navigation system for autonomous navigation in GPS denied areas
  • Foot controlled water tap published and granted as patent
  • Vision based target detection and localization.

Contact



Email:

shashipoddar[at]csio[dot]res[dot]in

Telephone:

0172-2672-235


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